In this paper, the epidemic spreading was investigated from the point of view of fractal. Firstly, the real network was abstracted as a fully connected fractal network. Based on the fractal network, the fractal spreading process was studied. The fractal spreading process was simulated to analyze the change of infection density during transmission. The results showed that the infection density presented an upward trend of the ladder-shaped, and a jumping change in infection density occurred during a certain time. As an illustration, the pandemic of COVID-19 was analyzed, the results indicated that the proposed method was valid. Experiments and analyses have shown that intervention at key jump points in virus propagation can effectively control the spread of the virus.

中文翻译：

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网络上的分形传播和免疫

本文从分形的角度研究了流行病的传播。首先，将真实网络抽象为一个全连接的分形网络。基于分形网络，研究了分形扩展过程。模拟分形传播过程，分析传播过程中感染密度的变化。结果表明，感染密度呈阶梯状上升趋势，在一定时间内感染密度出现跳跃式变化。例如，分析了 COVID-19 的大流行，结果表明所提出的方法是有效的。实验分析表明，在病毒传播的关键跳跃点进行干预，可以有效控制病毒的传播。